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标题：Mapping flood prone and Hazards Areas in rural landscape using landsat images and random forest classification: Case study of Nasia watershed in Ghana
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作者：Benjamin Ghansah ; Clement Nyamekye ; Seth Owusu 等
期刊名称：Cogent Engineering
电子版ISSN：2331-1916
出版年度：2021
卷号：8
期号：1
页码：1923384
DOI：10.1080/23311916.2021.1923384
出版社：Taylor and Francis Ltd
摘要：Floods are hazard which poses immense threat to life and property. Identifying flood-prone areas, will enhance flood mitigation and proper land use planning of affected areas. However, lack of resources, the sizable extent of rural settlements, and the evolving complexities of contemporary flood models have hindered flood hazard mapping of the rural areas in Ghana. This study used supervised Random Forest (RF) classification, Landsat 8 OLI, and Landsat 7 ETM images to produce flood prone, Land Use Land Cover (LULC), and flood hazard maps of the Nasia Watershed in Ghana. The results indicated that about 418.82 km 2 area of the watershed is flooded every 2–3 years (normal flooding) and about 689.61 km 2 is flooded every 7–10 years (extreme flooding). The LULC classification produced an overall accuracy of 92.31% and kappa of 0.9. The flood hazard map indicated that land areas within hazard zones of the river include the Nasia community, Flood Recession Agricultural (FRA), rainfed and woodlands. When compared with a Modified Normalized Difference Water Index (MNDWI), the RF supervised classification had an edge over the MNDWI in estimating the flooded areas. The results from this study can be used by local administrators, national flood disaster management and researchers for flood mitigation and land use planning within the watershed.
关键词：Random Forest ; Landsat Images ; Flood Prone and Flood Hazard ; Nasia River ; Rural Landscape